Triple

T12239529
Position Surface form Disambiguated ID Type / Status
Subject Víctor Chávez E291690 entity
Predicate nameInLatinAlphabet P22444 FINISHED
Object Víctor Chávez E291690 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Víctor Chávez | Statement: [Víctor Chávez, nameInLatinAlphabet, Víctor Chávez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Víctor Chávez
Context triple: [Víctor Chávez, nameInLatinAlphabet, Víctor Chávez]
  • A. Víctor Chávez chosen
    Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
  • B. José Chávez
    José Chávez is a Spanish-speaking personal name shared by multiple individuals, most commonly associated with Latin American figures in sports, politics, and the arts.
  • C. Raúl Chávez
    Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
  • D. Luis Chávez
    Luis Chávez is an actor known for his role in the thriller film "While She Was Out."
  • E. Rogelio Chávez
    Rogelio Chávez is a Mexican professional footballer known for playing as a right-back, most notably with Cruz Azul in Liga MX.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75464d85c8190a4c27f22cfd7dc96 completed May 3, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:51 p.m.